In this work, we show that adversarial examples can be generated using a generic approach that relies on the perturbation analysis of learning algorithms. Formulated as a convex program, the proposed ...

Currently, misleading findings during data mining are mostly caused by the dirty data including that caused by mistakes of inconsistent examples. A reduction-based algorithm for helping us to check ...